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The method chooses joint bilateral filtering and improved adaptive median filtering as the filtering subsystems and selects the sub-filtering system suitable for the noise by switching rules to achieve the purpose of effectively removing noise. The simulation experiment was carried out by the self-developed human\u2013computer interactive projection image system platform. Through the subjective evaluation, objective evaluation, and running time comparison analysis, a better filtering effect was achieved, and the balance between the filtering precision and the real-time performance of the interactive system was well obtained. Therefore, the proposed method can be widely applied to various human\u2013computer interactive image filtering systems. <\/jats:p>","DOI":"10.1177\/0959651819836304","type":"journal-article","created":{"date-parts":[[2019,3,19]],"date-time":"2019-03-19T10:36:01Z","timestamp":1552991761000},"page":"1340-1350","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Switching filtering method for interactive systems"],"prefix":"10.1177","volume":"233","author":[{"given":"Junyi","family":"Hou","sequence":"first","affiliation":[{"name":"School of Mechanical and Electric Engineering, Soochow University, Suzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7621-6807","authenticated-orcid":false,"given":"Lei","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electric Engineering, Soochow University, Suzhou, China"},{"name":"Key Laboratory of Industrial Internet of Things & 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